Imports SQL table into an H2O cluster. Assumes that the SQL table is not being updated and is stable. Runs multiple SELECT SQL queries concurrently for parallel ingestion. Be sure to start the h2o.jar in the terminal with your downloaded JDBC driver in the classpath: `java -cp <path_to_h2o_jar>:<path_to_jdbc_driver_jar> water.H2OApp` Also see h2o.import_sql_select. Currently supported SQL databases are MySQL, PostgreSQL, MariaDB, Hive, Oracle and Microsoft SQL Server.
h2o.import_sql_table(
connection_url,
table,
username,
password,
columns = NULL,
optimize = NULL,
fetch_mode = NULL
)URL of the SQL database connection as specified by the Java Database Connectivity (JDBC) Driver. For example, "jdbc:mysql://localhost:3306/menagerie?&useSSL=false"
Name of SQL table
Username for SQL server
Password for SQL server
(Optional) Character vector of column names to import from SQL table. Default is to import all columns.
(Optional) Optimize import of SQL table for faster imports. Default is true. Ignored - use fetch_mode instead.
(Optional) Set to DISTRIBUTED to enable distributed import. Set to SINGLE to force a sequential read from the database Can be used for databases that do not support OFFSET-like clauses in SQL statements.
For example, my_sql_conn_url <- "jdbc:mysql://172.16.2.178:3306/ingestSQL?&useSSL=false" table <- "citibike20k" username <- "root" password <- "abc123" my_citibike_data <- h2o.import_sql_table(my_sql_conn_url, table, username, password)